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This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic Knowledge Graph leverages an inverted index, along with a complementary uninverted index, to represent nodes (terms) and edges (the documents within intersecting postings lists for multiple terms/nodes). This provides a layer of indirection between...
Information Retrieval (IR) approaches are used to leverage textual or unstructured data generated during the software development process to support various software engineering (SE) tasks (e.g., concept location, traceability link recovery, change impact analysis, etc.). Two of the most important steps for applying IR techniques to support SE tasks are preprocessing the corpus and configuring the...
The large volume of information stored in electronical health records is very valuable in the medical field, e.g., for clinical research and administrative purposes. However, health care professionals still face difficulties to recover and select relevant data. Although literature has investigated the influence of lexical, syntactical and semantic parameters in information retrieval techniques, few...
The World Wide Web easily becomes the largest repository of natural language text data. We are particularly interested in state-of-the-art methods in exploiting geospatial information the web. The survey is done in the context of its extraction methods, retrieval, visualization, and further possible mining or knowledge discovery scenarios in order to produce thematic maps automatically from the web...
This paper conceptually proposes a context-aware recommendation system that gives/recommends optimal information for users based on 1) the content of an image using content-based image retrieval engines, 2) the contextual information of its similar images on the Web, and 3) user context, namely users' situations such as their location, we are aiming to extract the detailed information to the text-unpresentable...
A soft-information fusion process produces refined estimates of soft-information, such as natural language messages. Information resulting from a soft-information process can be used to retrieve related, relevant information from background (a-priori) knowledge sources using contextual “cues” contained in those messages, a process we call “Context-Based Information Retrieval (CBIR)”. These retrieval...
We discuss a methodology for extracting socio-cultural information from transcripts of natural language conversations. The methodology is applicable to a wide variety of languages. We use Russian and Tamil for illustration. The extracted socio-cultural information pertains to the nature of the relationship between the participants in the interaction. We concentrate on the information implicit in the...
Scenarios are critical for requirement analysis and system design. In this paper, we present a lightweight framework for scenario elicitation from natural language requirements. First, the events are elicited from sentences using event templates. Then the elicited events are associated with event tree to constitute scenarios.
This paper presents a soft information fusion framework for creating a propositional graph from natural language messages with an emphasis on producing these graphs for fusion with other messages. The framework utilizes artificial intelligence techniques from natural language understanding, knowledge representation, and information retrieval.
This paper proposes a method for extracting useful expressions from English research papers. The method extracts sequences of words from research papers and refine them into phrasal expressions (PEs). We use base-phrases for acquiring such the expressions. The method extracts PEs from the set of sequences of base-phrases by using three kinds of statistical information: frequency, length, and the number...
Comparative and evaluative question answering (QA) systems provide objective answers to questions that involve comparisons and evaluations based on a quantifiable set of criteria. As evaluations involve inferences and computations, answers are not lifted from source text. This entails the need for correct semantic interpretation of comparative expressions, converting them to quantifiable criteria...
Nowadays rapid and accurate speech retrieval techniques based on semantics are desired for the overwhelming amounts of speech data. In this paper we mainly study a converted lattice-based approach for Chinese spontaneous speech retrieval. A new confidence measure method is proposed based on context mutual information. In our knowledge, it is firstly used in a lattice construction for speech indexing...
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